Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs.

Autor: Kılıc MC; Department of Paediatric Dentistry, Faculty of Dentistry, Ataturk University, Erzurum, Turkey., Bayrakdar IS; Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Eskisehir Osmangazi University, Eskişehir, Turkey., Çelik Ö; Department of Mathematics-Computer, Eskisehir Osmangazi University Faculty of Science, Eskisehir, Turkey., Bilgir E; Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Eskisehir Osmangazi University, Eskişehir, Turkey., Orhan K; Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Ankara University, Ankara, Turkey., Aydın OB; Department of Paediatric Dentistry, Faculty of Dentistry, Ataturk University, Erzurum, Turkey., Kaplan FA; Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Eskisehir Osmangazi University, Eskişehir, Turkey., Sağlam H; Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Eskisehir Osmangazi University, Eskişehir, Turkey., Odabaş A; Department of Mathematics-Computer, Eskisehir Osmangazi University Faculty of Science, Eskisehir, Turkey., Aslan AF; Department of Mathematics-Computer, Eskisehir Osmangazi University Faculty of Science, Eskisehir, Turkey., Yılmaz AB; Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Ataturk University, Erzurum, Turkey, Turkey.

Publikováno v: Dento maxillo facial radiology [Dentomaxillofac Radiol] 2021 Sep 01; Vol. 50 (6), pp. 20200172. Date of Electronic Publication: 2021 Mar 04.